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The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for higher-education and research institutions to monitor and plan their contributions to social, economic, and environmental transformations.
The text2sdg package is the first open-source,
multi-system analysis package that identifies SDGs in text, opening up
the opportunity to monitor any type of text-based data, including
scientific output and corporate publications.
The text2sdg package is developed by Dirk U. Wulff and
Dominik S. Meier, with contributions from Rui Mata and the
Center for Cognitive and Decision
Sciences. It is published under the GNU General Public License.
An overview of the package can be accessed online or
from within R using ?text2sdg.
The current stable version is available on CRAN and can be installed
via install.packages("text2sdg").
The latest development version on GitHub can be installed via
devtools::install_github("dwulff/text2sdg"). Note that this
requires prior installation of the devtools package.
To identify SDGs in a series of documents, the user can choose between two approaches, an individual systems approach implementing six individual query systems and an ensemble approach powered by machine learning that integrates these systems. It is recommended to use the more accurate and bias-free ensemble approach (see Wulff, Meier, & Mata, 2023).
# vector of texts
texts = c("This is text 1", "This is text 2")
# individual systems approach
hits = detect_sdg_systems(texts)
# ensemble approach
hits = detect_sdg(texts)For a complete tutorial on the use of the package, visit this page or
call vignette("text2sdg") from within R.
If you use the text2sdg package for published work, we
kindly ask that you cite the package as follows:
Wulff, D. U., & Meier, D. S. (2021). text2sdg: Detecting UN Sustainable Development Goals in Text (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.5553980
Depending on the use of the package, also consider referencing one of the related articles below.
Meier, D. S., Mata, R., & Wulff, D. U. (2021). text2sdg: An open-source solution to monitoring sustainable development goals from text. arXiv. https://arxiv.org/abs/2110.05856
Wulff, Dirk U., Meier, Dominik S., & Mata, R. (2023). Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. arXiv. https://arxiv.org/abs/2301.11353
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.